This paper describes artififfcial neural networks which are based on the adaptive resonance theory. The usage of these artiffficial neural networks for classification tasks is presented. The example uses is the classifffication of patient health from the results of general blood analysis.

This paper describes results of the simulation of social objects, the dependence of schoolchildren's professional abilities on their personal characteristics. The simulation tool is the artififfcial neural network (ANN) technology. Results of a comparison of the time expense for training the ANN and for calculating the weight coefficients with serial and parallel algorithms, respectively, are presented.